JPS5875009A - Shape detection for end part of plate material - Google Patents

Abstract

PURPOSE:To detect quickly the shape of the end part of a plate material, by deciding current plate width data to be defective if this data is smaller (larger) than already taken-in plate width data in respect to the leading edge (the trailing edge) of the plate material. CONSTITUTION:In respect to the leading edge part (the trailing edge part) of a steel plate, if current plate width data is smaller (larger) than already taken-in plate width data in a computer 36, current plate width data is decided to be defective, and defect deciding information is added to current plate width data to take this data into a data storage area; and if plate width data becomes zero once, all following plate width data are decided to be defective, and defect deciding information is added to current plate width data or all following plate width data to take these data into the data storage area. After all data are stored, plate width data are adopted or rejected selectively in accordance with defect deciding information, and the shape of the end part of the steel plate is detected on a basis of effective data, and a shearing position is determined.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a method for detecting the shape of the edge of a plate material, and in particular, it is suitable for determining the shear position of the edge of a hot rolled steel plate that has become irregularly shaped due to a rolling process. A backlight is irradiated along the board width direction while moving in the length direction, and the image formed by the board is periodically detected by a linear array with light receiving elements R1 along the board width direction, and the linear array sequentially detects the image formed by the board material along the board width direction. The present invention relates to an improvement in a method for detecting the shape of the edge of a plate by detecting the shape of the edge of the plate using obtained plate width data and information on movement of the plate.

As is well known, the leading and trailing edges of a copper plate rolled in the hot rolling process become irregularly shaped, and the irregularly shaped edges of the steel plate are prone to jamming, shifting, and ashing of the steel plate during threading. This causes inconveniences such as narrowing down and end marks at the coil winding point. Therefore, it is necessary to shear the ends of the steel plate that have become irregularly shaped due to the rolling process as crops in advance to prevent the above-mentioned problems from occurring. When shearing the irregularly shaped ends of the steel plate as crops, it is necessary to avoid unnecessary shearing of the ends of the steel plate in order to improve the yield.

Therefore, using a linear array, in which light-receiving elements such as solid-state image sensors made of semiconductor image pickup tubes are arranged in a straight line to capture the shape of the object as a line, for example, while moving a steel plate in its length direction, A backlight is irradiated along the width direction of the steel plate, and an image formed by the steel plate is periodically detected by a linear array as described above in which light-receiving elements are arranged along the width direction of the plate, and the plate is sequentially obtained by the linear array. It is conceivable to detect the irregular shape of the edge of the steel plate using the 1 data and the movement information of the steel plate, and determine the shear position of the edge of the steel plate according to the irregular shape.

In this way, by using a linear array,
The planar shape 1' of the edge of the steel plate can be measured in a non-contact manner, and therefore an appropriate shearing position of the edge of the steel plate can be determined depending on the irregular shape.

In this case, the linear array is installed in a place with severe environmental conditions, and the output of the linear array is affected by hot air, water, or scattering of scale generated from the heated steel plate. In some cases, accurate detection was not possible. That is, for example, as shown in FIG. 1, if scales 12 are scattered around the tip 10a of the steel plate 1o, the width of the scales 12 will be included in the width of the steel plate 10. Something happened.

In order to prevent such defects, attempts have been made to remove scale etc. using water jets or compressed air, but it is difficult to completely remove scale etc., and it may become an obstacle when detecting the shape of the edge of the steel plate. It had become.

Although it is conceivable to determine whether or not there is defective data after obtaining all the width change information of the irregularly shaped portion of the steel plate, generally speaking, measuring is used to detect movement information of the steel plate. The roll is installed just before the shearing device in order to minimize errors caused by slips between the gear leg and the steel plate. It is very difficult to carry out the process after obtaining all of them in terms of processing time.

The present invention has been made in order to eliminate the above-mentioned drawbacks of the conventional art, and it is possible to sequentially determine the acceptability of board width data at the time of data import, and therefore, it is possible to quickly detect the shape of the end of the board. The purpose of the present invention is to provide a method for detecting the shape of the edge of a plate material.

The present invention irradiates a backlight along the width direction of the plate while moving the plate in its length direction, and periodically images an image formed by the plate using a linear array in which light receiving elements are arranged along the width of the plate. In the method for detecting the shape of the edge of a plate using the plate width data sequentially obtained by the linear array and the movement information of the plate, the tip of the plate is determined based on the current plate width data. If it is smaller than the plate width data that has already been imported, the current plate width data d is determined to be defective, and on the other hand, if the plate width data is smaller than the plate width data that has already been imported, the current plate width data is determined to be defective. If it is larger than the data, the current board width data is determined to be defective, thereby achieving the above objective.

In addition, once the plate width data becomes zero, all subsequent plate width data for the rear end of the plate is determined to be defective, so that defective determination at the rear end of the plate, where there is a lot of external noise, can be quickly performed. It was designed so that it could be done.

The present invention will be explained in detail below.

The shape of the irregular part of the plate material such as the steel plate 10 is such that at the tip, the second
As shown in Figure (A), the plate width can be generally viewed as a monotonically increasing function of the distance (time) from the tip, increasing continuously as the distance from the tip increases (time passes). I can do it. On the other hand, at the rear end, as shown in Figure 2 (B), the plate width decreases continuously as the distance from the tip increases (as time passes). It can generally be seen as a monotonically decreasing function of (time). Therefore, in the tip section, when a certain plate width is detected when importing plate width data, and later plate width data with a numerical value smaller than that plate width is obtained, that data is determined to be defective. .

Similarly, at the rear end, if the board width data detected later is larger than the board width data obtained at the bottom, that data is determined to be defective. Furthermore, at the rear end,
Since it is easy for noise to be caused by shadows such as scales falling on the board, if the board width data becomes zero even once, all subsequent board width data are determined to be defective.

In this way, it is possible to accurately detect the shape of the end of the plate material without being affected by external noise such as scale.

Referring to the drawings below, crop shape recognition of a hot rolled steel plate in which the method for detecting the shape of the edge of a plate according to the present invention is adopted.
An embodiment of the shearing device will be described in detail.

As shown in FIG. 3, this embodiment includes a rod-shaped light source 20 that is disposed below a steel plate 10 being conveyed on a steel plate conveyance path and irradiates a backlight along the width direction of the steel plate 10; A linear array 22 of, for example, 2048 bits, which is disposed above the conveyance path and has built-in light receiving elements arranged along the width direction of the steel plate 10 for circumferentially detecting the image formed by the steel plate 10; a signal processing device 24 that outputs edge data corresponding to the edge position in the sheet width direction of the steel sheet 10 according to the output of the measuring roll 22;
a pair of drums 30.6, which detects the amount of rotation of the steel plate 10 and outputs a pulse signal according to the amount of movement of the steel plate 10; and a pair of drums 30.6 having shear blades 30a for shearing the steel plate 10.
A shearing device 29 comprising a shear motor 32 for rotationally driving the drum 30 during shearing, a shear motor control@@34 for controlling the shear motor 32, edge data output from the signal processing device 124, and the pulse generator. According to the movement information of the steel plate 10 of 28 outputs, an irregular shape of the steel plate end is detected, a shearing position of the steel plate end is determined according to the irregular shape, and a shearing command is given to the shearing device 29 at a predetermined timing. In the crop shape recognition/shearing apparatus for hot rolled steel sheets, the computer 36 outputs the crop shape of a hot rolled steel plate.
Regarding the tip of the steel plate, if the current plate width data is smaller than the plate width data that has already been imported, the current plate width data is determined to be defective, and the current plate width data is determined to be defective. Information is added and imported into the data storage area. On the other hand, for the rear end of the steel plate, if the current 9 plate width data is larger than the already imported plate width data, the current plate width data is determined to be defective. However, once the sheet width data becomes zero, all subsequent sheet width data will be judged as defective, and defective judgment information will be added to the current sheet width data or all subsequent sheet width data. After importing the data into the data storage area and storing all the data, the sheet width data is selected according to the defect judgment information, and the shape of the steel sheet edge is detected based on the valid data to determine the shearing position. This is what I did.

The operation will be explained below with reference to the flowchart shown in FIG.

First, depending on the output signal of the linear array 22 or the output signal of a separately provided thermal mass detector, the linear array 22
In step 100, it is determined whether the front end or the rear end of the steel plate 10 is detected. If the tip of the steel plate 10 has been detected, proceed to step 101;
Board width data is taken in from the linear array 22 via signal processing @1124. Next, in step 102, it is determined whether the board width data that has been imported this time is greater than or equal to the maximum value of the board width data that has already been imported. If the sheet width data imported this time is equal to or larger than the maximum value of the sheet width data that has already been imported, the sheet width is increasing, and the sheet width data is It is determined that it is normal and the process proceeds to step 104. On the other hand, if the currently imported strip width data is smaller than the maximum value of the already imported strip width data, it is determined that the current strip width data is defective due to the influence of scale, etc. Then, in step 103, defect determination information is added to the current data, and the process proceeds to step 104. In step 104, it is determined whether a predetermined number of data imports, for example 300 times, has been completed. If the number of data imports has been completed, the process proceeds to step 105; on the other hand, if the number of data imports has not been completed, is step 1
Return to 01. In step 105, the plate width at the shearing position is determined based on the setting information of the host computer or the operator. Next, in step 106, among the data group (includes sheet width data, failure judgment information, edge data corresponding to the boundary between light and dark, movement information of the steel plate, etc.), those with failure judgment information are The shearing position is determined using a data set in which the plate width at the shearing position is equal to the plate width data. Furthermore, in step 107, pulse transmission! The shearing timing is calculated based on the movement information of the steel plate obtained from 128. Further, in step 108, it is determined whether or not the shearing timing has been reached. If the shearing timing has been reached, in step 109, a shearing command is output to the shearing device ff1129 to perform crop cutting of the tip of the steel plate.

On the other hand, if it is determined in step 100 that it is the rear end of the steel plate 10, the process proceeds to step 110, and step 10
Similarly to 1, the latch width data of the linear array 22 is taken in via the signal processing device 24. Then step 11
1, the width data imported this time is equal to or smaller than the minimum value of the width data that has already been imported. In some cases, the plate width is on a decreasing trend, so it is determined that the plate width data is normal, and the process proceeds to step 113.

On the other hand, if the currently imported strip width data is larger than the minimum value of the already imported strip width data, it is determined that the current strip width data is defective due to the scale, etc.
In step 112, defect determination information is added to the current data, and then the process proceeds to step 113. In step 113, it is determined whether or not the current board width data is zero, and if the current board width data is not zero, the process proceeds to step 115. On the other hand, if the current board width data is zero, then the defect determination information is added to all subsequent data, and the process proceeds to step 115. In step 115, it is determined whether a predetermined number of data imports, for example 300 times, has been completed. If the number of data imports has been completed, the process proceeds to step 105, whereas if the number of data imports has not been completed, the process proceeds to step 105. Then, the process returns to step 110. The processing after step 105 is the same as that for the tip end of the steel plate, so a description thereof will be omitted.

FIG. 5 shows an example of the relationship between the steel plate shape at the tip of the steel plate, the plate width data, and the defect determination section in this example.

In this embodiment, the shearing position is determined by excluding data to which failure determination information has been added.
The shear position is less likely to be disturbed by external noise such as scale.

Furthermore, in this embodiment, for the rear end of the steel plate, when the current plate width data is larger than the already imported plate width data, the current plate width data is not only determined to be defective; Once the sheet width data becomes zero, all subsequent sheet width data is determined to be defective, so external noise due to the shadow of the scale etc. falling on the steel sheet is likely to be added.
It is possible to accurately detect the shape at the rear end of the steel plate. In addition, the same process is performed not only for the rear end of the steel plate but also for a part of the tip of the steel plate, and once the plate width data becomes zero at the tip of the steel plate, all the previous plate width data is determined to be defective. Of course, it is also possible to do so.

Furthermore, in the above embodiment, in the arithmetic processing for determining the crop shear position, data in which the board width data was determined to be defective was not used to prevent the shear position from being disturbed by external noise. The method of processing data to which judgment information has been added is not limited to this. For example, if there is something near the data judged to be defective that is equal to the plate width at the shearing position, the shearing position may be corrected to some extent. It is also possible to take measures.

In the above embodiment, the present invention was applied to a crop shape ml1-shearing device for hot-rolled steel plates, but the scope of application of the present invention is not limited to this, and can be applied to detecting the shape of general plate curves. It is clear that the same applies.

As explained above, according to the present invention, it is possible to determine the quality of board width data at the time of data import, and therefore,
This has the excellent effect of being able to quickly detect the shape of the edge of the plate.

[Brief explanation of the drawing]

FIG. 1 is a plan view showing the state of the tip of the steel plate where scales and the like are scattered, and FIGS. 2(A) and (B) are diagrams showing the tip of the plate and A diagram showing the relationship between the plate shape and plate width data at the rear end of the plate;
FIG. 3 is a perspective view, including a partial block diagram, showing the configuration of an embodiment of a crop shape recognition/shearing device for a hot rolled steel plate in which the method for detecting the shape of the edge of a plate material according to the present invention is adopted; FIG. 4 is a flowchart showing the flow of processing in the computer in the above embodiment, and FIG. 5 is an example of the relationship between the steel plate shape at the tip of the steel plate, the plate width data, and the defect determination section, also in the above embodiment. It is a line diagram. DESCRIPTION OF SYMBOLS 10... Steel plate, 12... Scale, 20... Rod-shaped light source, 22... Linear array, 24... Signal processing device, 26... Measuring o-ru, 28... Pulse transmitter , 36... Calculator.

Claims (2)

[Claims] (1) While moving the plate material in its length direction, a backlight is irradiated along the width direction of the plate material, and the image formed by the plate material is periodically detected by a linear array with light-receiving elements arranged along the width direction of the plate material. However, in the method for detecting the shape of the edge of a plate using the plate width data sequentially obtained by the linear array and the movement information of the plate, the current plate width data is used for the tip of the plate. If it is smaller than the sheet width data that has already been imported, the current sheet width data is determined to be defective.On the other hand, for the rear end of the sheet, the current sheet width data is larger than the sheet width data that has already been imported. If so, the current board width data is determined to be defective. (2) When the plate width data once becomes zero, all subsequent plate width data for the rear end of the plate are determined to be defective. shape detection method.